Technology

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

We are supporting a product-led technology company building advanced agentic AI systems that operate autonomously in real-world environments.This is an opportunity to work on AI that does more than generate responses. You will be building intelligent agents that can reason, plan, take action, and continuously adapt. These systems sit at the core of the product and are already being used by customers at scale.You will be joining a highly technical team working on some of the hardest problems in applied AI today. The focus is on shipping robust, production-ready agentic systems, not experiments or research projects.About the role: In this role, you will design, build, and deploy agentic AI systems capable of solving complex, multi-step problems autonomously. You will work closely with product and engineering teams to turn business challenges into intelligent agent workflows that deliver real outcomes.Your responsibilities will include:Designing agentic architectures including planning, execution, memory, and feedback loopsBuilding agents that use RAG pipelines to retrieve and reason over proprietary knowledgeImplementing embeddings and vector search to support semantic retrieval and long-term agent memoryIntegrating LLMs with tools, APIs, databases, and internal servicesDeveloping evaluation frameworks to measure agent accuracy, reliability, and failure modesOptimising performance, latency, and cost for AI systems running in productionDebugging agent behaviour in complex, real-world scenarios About you: You are a senior-level AI engineer with strong hands-on experience building and deploying intelligent systems. You understand how LLMs behave in production, including their limitations, and you are comfortable designing around them.You will bring:Strong Python engineering skills and experience shipping production-grade AI systemsHands-on experience with agentic AI, RAG pipelines, embeddings, and vector searchSolid understanding of semantic retrieval, context management, and knowledge groundingExperience evaluating and improving LLM-driven systems beyond simple accuracy metricsA product mindset focused on delivering reliable outcomesComfort working in ambiguous problem spaces with high ownership If you are excited by the challenge of building AI agents that actually work in the real world, this is a role worth exploring.

We have partnered with a leading creative organisation that is building scalable, production-ready generative AI systems to support high-end creative output across multiple clients and teams. They are now looking to hire a Creative Technologist - GenAI to design, test, and scale advanced GenAI workflows that sit at the intersection of R&D, production and hands-on experimentation.This role focuses on building the systems behind the work, ensuring AI tools and pipelines are reliable, secure and ready for real-world creative production.About the roleDesign, build, and run end-to-end GenAI pipelines covering diffusion models, video generation, embeddings and LoRA workflowsTranslate open-ended creative briefs into structured technical builds that can be tested, refined and pushed into productionLead dataset preparation, model training runs and asset versioning within secure environmentsMaintain and support GPU infrastructure across cloud and local development setupsWork closely with creative and production teams to ensure tools and workflows align with real project needsPrototype rapidly across multiple technical approaches to identify the most production-ready solutionsCoordinate with global innovation teams to align standards, share learnings and contribute to best practiceDocument workflows and harden systems for scalable use across multiple clients About you:Proven experience building and managing ML or GenAI pipelines in production environmentsStrong working knowledge of ComfyUI, HuggingFace, LoRA, ControlNet and related GenAI toolingExperience working with cloud infrastructure such as AWS and GCPComfortable working through open technical problems and iterating quicklyAble to communicate effectively with both technical and non-technical stakeholdersStrong systems mindset with a focus on reliability, scalability and long-term reuseMotivated by applying emerging technology to real-world creative output

We have partnered with a major consumer business that is redefining its digital experience across web, mobile and in-store channels. They are looking for a Senior Product Manager to drive the roadmap for AI enabled personalisation, customer journey optimisation, and the introduction of new digital features across the full omnichannel lifecycle.The successful candidate will work closely with Engineering, Data, UX and Operations to deliver innovative, commercially focused product enhancements that elevate customer engagement and increase conversion across millions of users.About the role: * Own the product roadmap for AI powered customer experience * Enhance digital journeys across mobile apps, web and retail channels * Deliver data driven personalisation and automation capabilities * Work cross functionally with Engineering, UX and Data teams * Shape long term vision for customer engagement and retentionAbout you: * Strong background in digital product management * Experience delivering AI or data driven capabilities * Comfortable managing large stakeholder groups across tech and business * Ability to turn complex challenges into simple, high impact solutions

We have partnered with a leading organisation in the financial services sector as they embark on a multi-year modernisation programme. The successful candidate will be responsible for building and leading a high performing Platform Engineering function, taking ownership of cloud strategy, developer experience, observability, and the overall stability of the technology ecosystem.This role requires proven experience leading engineering teams in complex, regulated environments, with a strong focus on automation, infrastructure as code, platform reliability and cloud governance. The incoming leader will shape long term standards, elevate engineering practices, and work closely with Product, Security, and Architecture teams to design a scalable platform that can support their future growth.About the role:Lead and scale a modern Platform Engineering functionDrive cloud strategy across Azure or AWSImprove developer experience, tooling and automationOversee observability, monitoring and platform reliabilityPartner with senior technology and business leaders on long term strategy About you:10+ years in engineering with leadership experienceStrong background across cloud, CI/CD, IaC and container platformsExperience in financial services or similarly complex regulated industriesAbility to build culture, scale teams, and influence senior stakeholders

We have partnered with a global organisation to appoint a senior technology leader to take full accountability for the oversight and governance of its enterprise infrastructure estate. This is a high impact role responsible for directing a fully outsourced operating model, shaping long term infrastructure strategy, and ensuring the organisation receives a secure, resilient and cost efficient service across all regions.About the role:The Head of IT Infrastructure will provide strategic leadership across global infrastructure services spanning cloud, network, data centre, workplace technologies and core platform operations.They will take ownership of the relationship with the external managed service provider, enforcing governance frameworks, scrutinising performance, and ensuring contractual KPIs are met across availability, incident response, service quality and financial control.A major priority for this role is reducing cloud consumption costs across the enterprise. This leader will be responsible for introducing and scaling a mature FinOps practice across the wider IT organisation. They will define the operating model, drive cultural adoption, embed cost accountability into engineering and product teams, and ensure cloud resources are used efficiently and transparently.This will include building cost dashboards, enforcing tagging and optimisation standards, eliminating waste, renegotiating consumption agreements, and establishing clear guardrails for ongoing cloud usage.The role will also direct enterprise wide continuity and disaster recovery planning, oversee major incident management, and drive a culture of operational excellence through data driven reporting, service transparency and continuous improvement.Working closely with Technology, Cyber Security, Product and Finance, this individual will shape infrastructure priorities that support the company's broader transformation agenda. About you:You will have operated at senior or VP level within a large enterprise environment, where you have led global infrastructure functions and governed outsourced providers delivering business critical services.You will bring strong expertise in cloud infrastructure at scale, with proven experience implementing or maturing FinOps disciplines, reducing cloud consumption costs, and embedding cost ownership across technical teams.You will have deep technical understanding across core infrastructure domains, but you operate first and foremost as a strategic leader able to influence board level stakeholders, challenge external partners, and guide long term investment decisions.You will be comfortable navigating complex global environments, introducing structure and governance, and leading change across diverse teams and third party organisations.

We have partnered with a major omnichannel organisation to appoint a Head of Digital Technology.This is a senior strategic role responsible for leading a large scale transformation across all customer facing digital platforms. The organisation is unifying its omnichannel ecosystem, modernising legacy systems, and embedding Salesforce, AI, mobile, eCommerce, contact centre, and emerging technology into a single, integrated digital experience. This role will directly influence executive strategy and shape the long term digital direction of the business.About the role: You will take full ownership of the digital and customer technology estate, defining the strategy and multi year roadmap that aligns with the organisation's broader transformation agenda. Your remit includes Salesforce, mobile apps, eCommerce, contact centre platforms, data integration, and the adoption of next generation digital experiences. You will drive AI use cases across customer engagement and operations, modernise the underlying platforms, and ensure all channels operate as a cohesive end to end journey.You will partner closely with senior leadership across sales, marketing, digital, and operations, ensuring technology decisions deliver measurable business value. You will lead internal digital teams while managing large scale outsourced development partners, establishing the governance, performance metrics, and delivery standards required for a high performing digital function.About you:Senior digital technology leader with substantial experience driving transformation at enterprise scaleDeep background in Salesforce across Sales Cloud, Service Cloud, Marketing Cloud, and customer experience platformsProven leadership across engineering, product, CRM, and customer technology teamsStrong understanding of omnichannel customer journeys across mobile, web, contact centre, and eCommerceExperience embedding AI and automation into customer and employee workflowsStrong vendor management capability, with experience leading large outsourced delivery modelsAble to define strategy, set governance, influence C level stakeholders, and lead complex change programmesComfortable overseeing large digital estates, high availability environments, and modernisation initiatives

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

We are supporting a product-led technology company building advanced agentic AI systems that operate autonomously in real-world environments.This is an opportunity to work on AI that does more than generate responses. You will be building intelligent agents that can reason, plan, take action, and continuously adapt. These systems sit at the core of the product and are already being used by customers at scale.You will be joining a highly technical team working on some of the hardest problems in applied AI today. The focus is on shipping robust, production-ready agentic systems, not experiments or research projects.About the role: In this role, you will design, build, and deploy agentic AI systems capable of solving complex, multi-step problems autonomously. You will work closely with product and engineering teams to turn business challenges into intelligent agent workflows that deliver real outcomes.Your responsibilities will include:Designing agentic architectures including planning, execution, memory, and feedback loopsBuilding agents that use RAG pipelines to retrieve and reason over proprietary knowledgeImplementing embeddings and vector search to support semantic retrieval and long-term agent memoryIntegrating LLMs with tools, APIs, databases, and internal servicesDeveloping evaluation frameworks to measure agent accuracy, reliability, and failure modesOptimising performance, latency, and cost for AI systems running in productionDebugging agent behaviour in complex, real-world scenarios About you: You are a senior-level AI engineer with strong hands-on experience building and deploying intelligent systems. You understand how LLMs behave in production, including their limitations, and you are comfortable designing around them.You will bring:Strong Python engineering skills and experience shipping production-grade AI systemsHands-on experience with agentic AI, RAG pipelines, embeddings, and vector searchSolid understanding of semantic retrieval, context management, and knowledge groundingExperience evaluating and improving LLM-driven systems beyond simple accuracy metricsA product mindset focused on delivering reliable outcomesComfort working in ambiguous problem spaces with high ownership If you are excited by the challenge of building AI agents that actually work in the real world, this is a role worth exploring.

We have partnered with a leading creative organisation that is building scalable, production-ready generative AI systems to support high-end creative output across multiple clients and teams. They are now looking to hire a Creative Technologist - GenAI to design, test, and scale advanced GenAI workflows that sit at the intersection of R&D, production and hands-on experimentation.This role focuses on building the systems behind the work, ensuring AI tools and pipelines are reliable, secure and ready for real-world creative production.About the roleDesign, build, and run end-to-end GenAI pipelines covering diffusion models, video generation, embeddings and LoRA workflowsTranslate open-ended creative briefs into structured technical builds that can be tested, refined and pushed into productionLead dataset preparation, model training runs and asset versioning within secure environmentsMaintain and support GPU infrastructure across cloud and local development setupsWork closely with creative and production teams to ensure tools and workflows align with real project needsPrototype rapidly across multiple technical approaches to identify the most production-ready solutionsCoordinate with global innovation teams to align standards, share learnings and contribute to best practiceDocument workflows and harden systems for scalable use across multiple clients About you:Proven experience building and managing ML or GenAI pipelines in production environmentsStrong working knowledge of ComfyUI, HuggingFace, LoRA, ControlNet and related GenAI toolingExperience working with cloud infrastructure such as AWS and GCPComfortable working through open technical problems and iterating quicklyAble to communicate effectively with both technical and non-technical stakeholdersStrong systems mindset with a focus on reliability, scalability and long-term reuseMotivated by applying emerging technology to real-world creative output

We have partnered with a major consumer business that is redefining its digital experience across web, mobile and in-store channels. They are looking for a Senior Product Manager to drive the roadmap for AI enabled personalisation, customer journey optimisation, and the introduction of new digital features across the full omnichannel lifecycle.The successful candidate will work closely with Engineering, Data, UX and Operations to deliver innovative, commercially focused product enhancements that elevate customer engagement and increase conversion across millions of users.About the role: * Own the product roadmap for AI powered customer experience * Enhance digital journeys across mobile apps, web and retail channels * Deliver data driven personalisation and automation capabilities * Work cross functionally with Engineering, UX and Data teams * Shape long term vision for customer engagement and retentionAbout you: * Strong background in digital product management * Experience delivering AI or data driven capabilities * Comfortable managing large stakeholder groups across tech and business * Ability to turn complex challenges into simple, high impact solutions

We have partnered with a leading organisation in the financial services sector as they embark on a multi-year modernisation programme. The successful candidate will be responsible for building and leading a high performing Platform Engineering function, taking ownership of cloud strategy, developer experience, observability, and the overall stability of the technology ecosystem.This role requires proven experience leading engineering teams in complex, regulated environments, with a strong focus on automation, infrastructure as code, platform reliability and cloud governance. The incoming leader will shape long term standards, elevate engineering practices, and work closely with Product, Security, and Architecture teams to design a scalable platform that can support their future growth.About the role:Lead and scale a modern Platform Engineering functionDrive cloud strategy across Azure or AWSImprove developer experience, tooling and automationOversee observability, monitoring and platform reliabilityPartner with senior technology and business leaders on long term strategy About you:10+ years in engineering with leadership experienceStrong background across cloud, CI/CD, IaC and container platformsExperience in financial services or similarly complex regulated industriesAbility to build culture, scale teams, and influence senior stakeholders

We have partnered with a global organisation to appoint a senior technology leader to take full accountability for the oversight and governance of its enterprise infrastructure estate. This is a high impact role responsible for directing a fully outsourced operating model, shaping long term infrastructure strategy, and ensuring the organisation receives a secure, resilient and cost efficient service across all regions.About the role:The Head of IT Infrastructure will provide strategic leadership across global infrastructure services spanning cloud, network, data centre, workplace technologies and core platform operations.They will take ownership of the relationship with the external managed service provider, enforcing governance frameworks, scrutinising performance, and ensuring contractual KPIs are met across availability, incident response, service quality and financial control.A major priority for this role is reducing cloud consumption costs across the enterprise. This leader will be responsible for introducing and scaling a mature FinOps practice across the wider IT organisation. They will define the operating model, drive cultural adoption, embed cost accountability into engineering and product teams, and ensure cloud resources are used efficiently and transparently.This will include building cost dashboards, enforcing tagging and optimisation standards, eliminating waste, renegotiating consumption agreements, and establishing clear guardrails for ongoing cloud usage.The role will also direct enterprise wide continuity and disaster recovery planning, oversee major incident management, and drive a culture of operational excellence through data driven reporting, service transparency and continuous improvement.Working closely with Technology, Cyber Security, Product and Finance, this individual will shape infrastructure priorities that support the company's broader transformation agenda. About you:You will have operated at senior or VP level within a large enterprise environment, where you have led global infrastructure functions and governed outsourced providers delivering business critical services.You will bring strong expertise in cloud infrastructure at scale, with proven experience implementing or maturing FinOps disciplines, reducing cloud consumption costs, and embedding cost ownership across technical teams.You will have deep technical understanding across core infrastructure domains, but you operate first and foremost as a strategic leader able to influence board level stakeholders, challenge external partners, and guide long term investment decisions.You will be comfortable navigating complex global environments, introducing structure and governance, and leading change across diverse teams and third party organisations.

We have partnered with a major omnichannel organisation to appoint a Head of Digital Technology.This is a senior strategic role responsible for leading a large scale transformation across all customer facing digital platforms. The organisation is unifying its omnichannel ecosystem, modernising legacy systems, and embedding Salesforce, AI, mobile, eCommerce, contact centre, and emerging technology into a single, integrated digital experience. This role will directly influence executive strategy and shape the long term digital direction of the business.About the role: You will take full ownership of the digital and customer technology estate, defining the strategy and multi year roadmap that aligns with the organisation's broader transformation agenda. Your remit includes Salesforce, mobile apps, eCommerce, contact centre platforms, data integration, and the adoption of next generation digital experiences. You will drive AI use cases across customer engagement and operations, modernise the underlying platforms, and ensure all channels operate as a cohesive end to end journey.You will partner closely with senior leadership across sales, marketing, digital, and operations, ensuring technology decisions deliver measurable business value. You will lead internal digital teams while managing large scale outsourced development partners, establishing the governance, performance metrics, and delivery standards required for a high performing digital function.About you:Senior digital technology leader with substantial experience driving transformation at enterprise scaleDeep background in Salesforce across Sales Cloud, Service Cloud, Marketing Cloud, and customer experience platformsProven leadership across engineering, product, CRM, and customer technology teamsStrong understanding of omnichannel customer journeys across mobile, web, contact centre, and eCommerceExperience embedding AI and automation into customer and employee workflowsStrong vendor management capability, with experience leading large outsourced delivery modelsAble to define strategy, set governance, influence C level stakeholders, and lead complex change programmesComfortable overseeing large digital estates, high availability environments, and modernisation initiatives